data science · UW-Madison '26
I build data pipelines and microbiome research tools.
I'm a data science student at the University of Wisconsin–Madison graduating in May 2026. I love building end-to-end data systems — from ETL pipelines to interactive tools that make complex data explorable.
As a teaching assistant for CS320 (Data Science Programming II) with Professor Gurmail Singh, I helped many students reason about data structures, testing, and reproducible analysis. On the research side, I contributed to phylobar, an open-source visualization package for omics data with Professor Kris Sankaran.
Based in Cupertino, CA
things i've built
Jan 2026
End-to-end ETL pipeline ingesting SEC EDGAR filings into DuckDB with dbt models and 54 automated data-quality tests. Features an OpenSearch index across 8,000+ documents and a RAG-style Streamlit UI with cited responses via Gemini.
Aug 2025
Backend service that processes handwritten image uploads via OCR, scores them with deterministic rules, and outputs structured JSON. Features schema validation, error analytics, and grading-quality metrics.
academic work
Accepted March 2026
Megan Kuo, Kim-Anh Lê Cao, Saritha Kodikara, Jiadong Mao, Kris Sankaran
An R package that interactively links stacked barplots with overview phylogenetic or taxonomic hierarchies. The interface allows users to collapse or expand subtrees, paint color palettes interactively, and search for specific taxa — enabling comparison across taxonomic resolutions hidden in static overviews. Works with any omics data with hierarchical organization, demonstrated with immune cell composition in COVID-19 patients. Built with htmlwidgets and D3, embeddable in R Markdown or Quarto notebooks, with vector graphics export.
Tools: R, D3.js, htmlwidgets
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